Senior AI/ML Solutions Architect

22 hours ago

Palakkad, Kerala, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Senior AI/ML Solutions Architect

Overview:

Join our organization as a highly skilled and experienced Senior AI/ML Solutions Architect. We are seeking a talented individual who can lead the development and deployment of advanced machine learning solutions to drive business growth.

 

Key Responsibilities:

As a key member of our team, you will be responsible for developing and deploying AI/ML solutions that enhance decision-making and deliver tangible value to our clients.

 

Business Problem Statement:

Our clients require innovative solutions to complex business problems. As a Senior AI/ML Solutions Architect, you will work closely with cross-functional teams to identify business needs and develop tailored AI/ML solutions.

 

Machine Learning Model Development:

You will design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch. You will also develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.

 

Cross-Functional Collaboration:

Collaborate with data scientists, engineers, and product managers to integrate AI/ML solutions into existing products and services.

 

Knowledge Sharing:

Share your knowledge and expertise with junior team members, providing guidance on modelling practices and contributing to an environment of continuous learning and improvement.

 

Requirements:

  • 4 to 7 years of relevant experience in building ML solutions, with a strong foundation in machine learning modelling and deployment.
  • Strong exposure to banking, payments, fintech or Wealth/Asset management domains, with experience working on problems related to marketing analytics, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation for personalized targeting.
  • Bachelor's or Master's degree from a Tier 1 technical institute or MBA from Tier 1 institute.
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch.
  • Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.
  • Eagerness to learn and familiarity with developments in Agentic AI space.
  • Strong problem-solving capabilities and the ability to independently lead tasks or contribute within a team setting.
  • Effective communication and presentation skills for internal and client-facing interactions.
  • Ability to bridge technical solutions with business impact and drive value through data science initiatives.

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